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PAKDD
2015
ACM
4 years 12 months ago
Learning of Performance Measures from Crowd-Sourced Data with Application to Ranking of Investments
Abstract. Interestingness measures stand as proxy for “real human interest,” but their effectiveness is rarely studied empirically due to the difficulty of obtaining ground-tr...
Greg Harris, Anand V. Panangadan, Viktor K. Prasan...
PAKDD
2015
ACM
4 years 12 months ago
Identifying Hesitant and Interested Customers for Targeted Social Marketing
Abstract. Social networks provide unparalleled opportunities for marketing products or services. Along this line, tremendous efforts have been devoted to the research of targeted ...
Guowei Ma, Qi Liu, Le Wu, Enhong Chen
PAKDD
2015
ACM
12views Data Mining» more  PAKDD 2015»
4 years 12 months ago
Leveraging the Common Cause of Errors for Constraint-Based Data Cleansing
This study describes a statistically motivated approach to constraint-based data cleansing that derives the cause of errors from a distribution of conflicting tuples. In real-worl...
Ayako Hoshino, Hiroki Nakayama, Chihiro Ito, Kyota...
PAKDD
2015
ACM
4 years 12 months ago
Model Selection of Symbolic Regression to Improve the Accuracy of PM2.5 Concentration Prediction
As one of the main components of haze, topics with respect to PM2.5 are coming into people’s sight recently in China. In this paper, we try to predict PM2.5 concentrations in Da...
Guangfei Yang, Jian Huang
PAKDD
2015
ACM
4 years 12 months ago
Reliable Early Classification on Multivariate Time Series with Numerical and Categorical Attributes
Early classification on multivariate time series has recently emerged as a novel and important topic in data mining fields with wide applications such as early detection of disease...
Yu-Feng Lin, Hsuan-Hsu Chen, Vincent S. Tseng, Jia...
PAKDD
2015
ACM
4 years 12 months ago
Evaluation of Community Mining Algorithms in the Presence of Attributes
Grouping data points is one of the fundamental tasks in data mining, commonly known as clustering. In the case of interrelated data, when data is represented in the form of nodes a...
Reihaneh Rabbany, Osmar R. Zaïane
PAKDD
2015
ACM
4 years 12 months ago
A Learning-Rate Schedule for Stochastic Gradient Methods to Matrix Factorization
Abstract. Stochastic gradient methods are effective to solve matrix factorization problems. However, it is well known that the performance of stochastic gradient method highly dep...
Wei-Sheng Chin, Yong Zhuang, Yu-Chin Juan, Chih-Je...
PAKDD
2015
ACM
14views Data Mining» more  PAKDD 2015»
4 years 12 months ago
On Burst Detection and Prediction in Retweeting Sequence
Message propagation via retweet chain can be regarded as a social contagion process. In this paper, we examine burst patterns in retweet activities. A burst is a large number of re...
Zhilin Luo, Yue Wang 0009, Xintao Wu, Wandong Cai,...
PAKDD
2015
ACM
11views Data Mining» more  PAKDD 2015»
4 years 12 months ago
Latent Space Tracking from Heterogeneous Data with an Application for Anomaly Detection
Streaming heterogeneous information is ubiquitous in the era of Big Data, which provides versatile perspectives for more comprehensive understanding of behaviors of an underlying s...
Jiaji Huang, Xia Ning
PAKDD
2015
ACM
21views Data Mining» more  PAKDD 2015»
4 years 12 months ago
Mining High Utility Itemsets in Big Data
In recent years, extensive studies have been conducted on high utility itemsets (HUI) mining with wide applications. However, most of them assume that data are stored in centralize...
Ying Chun Lin, Cheng-Wei Wu, Vincent S. Tseng
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